import os
import uuid
from pathlib import Path
import tiktoken
from langchain_core.messages import HumanMessage

from states import State

os.makedirs("./data", exist_ok=True)


def tiktoken_len(text):
    tokens = tiktoken.encoding_for_model("gpt-4o-mini").encode(
        text,
    )
    return len(tokens)


def agent_node(state, agent, name):
    result = agent.invoke(state)
    return {"messages": [HumanMessage(content=result["output"], name=name)]}


def enter_chain(message: str) -> dict:
    results = {
        "messages": [HumanMessage(content=message)],
    }
    return results


def get_last_message(state: State) -> str:
    return state["messages"][-1].content


def join_graph(response: dict):
    return {"messages": [response["messages"][-1]]}


def create_random_subdirectory():
    random_id = str(uuid.uuid4())[:8]  # Use first 8 characters of a UUID
    subdirectory_path = os.path.join("./data", random_id)
    os.makedirs(subdirectory_path, exist_ok=True)
    return subdirectory_path


def prelude(state):
    written_files = []
    if not WORKING_DIRECTORY.exists():
        WORKING_DIRECTORY.mkdir()
    try:
        written_files = [
            f.relative_to(WORKING_DIRECTORY) for f in WORKING_DIRECTORY.rglob("*")
        ]
    except Exception:
        pass
    if not written_files:
        return {**state, "current_files": "No files written."}
    return {
        **state,
        "current_files": "\nBelow are files your team has written to the directory:\n"
        + "\n".join([f" - {f}" for f in written_files]),
    }


WORKING_DIRECTORY = Path(create_random_subdirectory())